Book Bearings
Cover of The Elements of Statistical Learning by Trevor Hastie

The Elements of Statistical Learning

Trevor Hastie, Robert Tibshirani and others

  • 549 pages · about 9 hours
  • First published 2001
  • 7 editions
Buy on Bookshop.orgView on Open Library

Bookshop.org links may earn us a commission. It supports independent bookstores and costs you nothing.

1 About this book

Describes important statistical ideas in machine learning, data mining, and bioinformatics. Covers a broad range, from supervised learning (prediction), to unsupervised learning, including classification trees, neural networks, and support vector machines.

Good for readers who want: artificial intelligence and a long read.

  • Artificial intelligence
  • Biology
  • Computer science
  • Database management
  • Statistics
  • Data processing
  • Data mining
  • Machine learning

2 About Trevor Hastie

Born 1953

Trevor John Hastie (born 27 June 1953) is an American statistician and computer scientist. He is currently serving as the John A. Overdeck Professor of Mathematical Sciences and Professor of Statistics at Stanford University. Hastie is known for his contributions to applied statistics, especially in the field of machine learning, data mining, and bioinformatics.

Bio adapted from Wikipedia (CC BY-SA 4.0)

3 Similar books

Find a book that fits your moment